Efficient matching and retrieval of gene expression time series data based on spectral information

Abstract

In this paper, we propose an efficient method based on spectral analysis for matching and retrieval of gene expression time series data. In this technique, we decompose a gene expression time series into a set of spectral components. The spectral parameters can then be used to compute the correlation between the expression data for a pair of genes using a closed-form mathematical equation. This method provides a reliable similarity metric for the comparison of gene expression data and can be used for efficient data retrieval. © Springer-Verlag Berlin Heidelberg 2005.